Application Support Engineer

Apex Fintech Solutions•Dallas, TX

2d•Hybrid

About The Position

We are seeking a skilled and customer-oriented Application Support Engineer to join our production support team. In this role you will act as the primary escalation point for production issues, work alongside engineering to resolve complex problems, and use AI tooling to remove repetitive work.

Requirements

Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent work experience
3+ years of experience in application support, preferably in a financial services or trading environment
2+ years in a customer-facing role
Strong foundational knowledge of networking, operating systems (Linux and Windows), and databases (MSSQL and/or NoSQL)
Ability to read and modify application code in a compiled language preferred
Strong understanding of REST APIs, Google Cloud Platform, and microservices architecture
Proficiency in SQL and NoSQL databases (MSSQL, MongoDB, Postgres)
Solid networking knowledge, including TCP/IP, DNS, and network security concepts
Experience with Linux and Windows operating systems
Strong scripting abilities in Python and PowerShell
Practical skill with AI coding assistants, including the ability to break a problem into a workable prompt, iterate on the output, and recognize when the tool is wrong. Experience with Claude Code preferred
Judgment about where automation pays off and where a process should stay manual
Excellent problem-solving and analytical skills, with the ability to troubleshoot complex technical issues
Strong customer service orientation and ability to communicate technical concepts to non-technical audiences

Nice To Haves

Experience with observability and ticketing platforms such as Datadog, Jira, Zendesk, Confluence, and PagerDuty is a plus
Familiarity with trading systems, financial markets, and regulatory requirements is a plus

Responsibilities

Serve as the escalation point for frontline support, owning complex production issues end to end from triage through resolution and client communication
Participate in major incident response, providing impact analysis and actionable recommendations
Monitor system performance and availability, resolving issues before they impact clients
Manage production access and support configuration and change management activities
Use AI tooling to accelerate investigation, including log analysis, data extraction, and issue reproduction
Build and maintain automations and reusable AI assets that other engineers can run
Validate AI-generated output before it reaches a client, a ticket, or production
Collaborate with development teams on fixes and improvements, and mentor newer engineers on the team
Create and maintain runbooks, troubleshooting guides, and knowledge base articles